At a Glance
- Tasks: Lead the strategy and design of AI integration workflows for financial tools.
- Company: Join LSEG, a leader in financial data and AI innovation.
- Benefits: Competitive salary, wellness allowance, remote work options, and comprehensive health benefits.
- Other info: Collaborative environment with opportunities for career growth and community engagement.
- Why this job: Shape the future of finance with cutting-edge AI technology and impactful projects.
- Qualifications: Experience in product management and understanding of AI integration patterns required.
The predicted salary is between 78900 - 131500 € per year.
As part of the LSEG AI team, we are hiring a Senior Product Manager – MCP Integrations & Agentic Workflows to own the strategy, design and delivery of integration patterns and agentic orchestration capabilities that connect LSEG's MCP tools into multi-step, autonomous AI workflows. This role is responsible for defining how LSEG's MCP tools are composed, chained, and orchestrated by AI agents—across partner ecosystems (Claude, Copilot Studio, OpenAI, open-source frameworks), third-party platforms, and internal agentic applications. You will shape how LSEG's financial intelligence is consumed not just as individual tool calls, but as part of sophisticated, multi-step reasoning pipelines that automate real financial workflows. You will work at the frontier of agentic AI, defining how autonomous systems reliably interact with LSEG's data and analytics at enterprise scale.
Key Responsibilities & Accountabilities
- Integration Strategy & Ecosystem
- Define the integration roadmap for LSEG MCP tools across AI platforms—including Anthropic (Claude), Microsoft (Copilot Studio, Azure AI), OpenAI, Google, and open-source agent frameworks (LangChain, CrewAI, AutoGen).
- Establish integration patterns, reference architectures, and best practices for connecting LSEG MCP tools to third-party agent orchestrators and workflow engines.
- Identify and prioritise strategic integration partnerships that expand the reach and utility of LSEG's MCP ecosystem.
- Agentic Workflow Design
- Define product patterns for multi-step, multi-tool agentic workflows—tool chaining, conditional branching, parallel execution, human-in-the-loop checkpoints, and error recovery.
- Design workflow templates and reference implementations for high-value financial use cases: morning briefings, equity research generation, portfolio rebalancing analysis, credit surveillance, and macro scenario modelling.
- Own the product requirements for orchestration reliability—ensuring agents handle tool failures, timeouts, ambiguous responses, and guardrail triggers gracefully.
- Developer & Partner Experience
- Design onboarding experiences, sample workflows, and integration guides that enable external developers and partners to build agentic applications on LSEG MCP tools.
- Define and maintain demo environments, sandbox configurations, and reference prompts that showcase LSEG's MCP capabilities within agent frameworks.
- Build and nurture a developer community around LSEG's MCP integrations, gathering feedback and surfacing adoption blockers.
- Reliability & Safety for Agentic Systems
- Define guardrails, approval gates, and safety patterns for autonomous AI agents interacting with LSEG financial data—ensuring agents cannot take unintended actions or surface misleading outputs.
- Partner with AI Governance and Model Risk to establish standards for agent auditability, decision traceability, and human oversight in agentic financial workflows.
- Design monitoring and alerting for agentic workflow health—tracking completion rates, failure modes, tool call patterns, and cost efficiency across agent-driven pipelines.
- Cross-Functional Collaboration
- Work closely with the Financial Domain Tools PM to ensure tools are designed for composability and chaining within agent workflows.
- Partner with the MCP Platform PM to ensure the infrastructure supports orchestration patterns—session continuity, context passing, and multi-tool transactions.
- Collaborate with commercial and business development teams to position LSEG's agentic MCP capabilities with strategic partners and enterprise clients.
- Engage with LSEG product teams across divisions to identify and instrument high-value agentic use cases.
Skills & Competencies Required
- Experience in product management for integrations, APIs, developer platforms, or workflow/orchestration products.
- Understanding of agentic AI patterns—tool chaining, multi-step reasoning, autonomous decision-making, and human-in-the-loop workflows.
- Familiarity with AI/LLM ecosystems and agent frameworks (LangChain, CrewAI, AutoGen, Copilot Studio, or equivalent).
- Experience designing developer-facing products—SDKs, documentation, reference implementations, and sandbox environments.
- Ability to work across ecosystem boundaries with external partners, developer communities, and platform providers.
Preferred
- Exposure to MCP, function-calling, or tool-use patterns in production LLM applications.
- Background in financial services technology, capital markets workflows, or enterprise data integration.
- Experience with partnership or ecosystem development in a platform or marketplace context.
- Understanding of AI safety, guardrails, and governance considerations for autonomous agent systems.
Measures of Success
- Integration Reach & Adoption
- Number of AI platforms and agent frameworks with active, supported LSEG MCP integrations.
- Growth in agentic workflow invocations across partner ecosystems.
- Developer adoption metrics—onboarding completions, active integrations, community engagement.
- Workflow Quality & Reliability
- Agentic workflow completion rates, failure rates, and mean-time-to-recovery across supported patterns.
- Reduction in agent-driven errors, hallucination-related tool misuse, and unintended data exposure incidents.
- Quality and coverage of workflow templates and reference implementations for key financial use cases.
- Strategic Impact
- Number of strategic partner integrations (AI platforms, fintechs, enterprise clients) enabled through MCP.
- Contribution to new commercial revenue streams driven by agentic MCP capabilities (partnerships, Model-as-a-Service, API consumption).
- Influence on LSEG's positioning as the leading financial data provider for AI agent ecosystems.
Compensation & Benefits Information
LSEG is committed to offering competitive Compensation and Benefits. The anticipated base salary for this position is $78,900 - $131,500. Please be aware base salary ranges may vary by geographic location, city and state. In addition to our offered base salary, this role is eligible for our Annual Incentive Plan (AIP/”bonus plan”). Target AIP rates will be commensurate with role level and posted career stage. Individual salary will be reflective of job related knowledge, skills and equivalent experience. LSEG roles (excluding internships and part-time roles of less than 20 hours per week) are typically eligible for inclusion in our LSEG Benefits program, which includes offerings of: Annual Wellness Allowance, Paid time-off, Medical, Dental, Vision, Flex Spending & Health Savings Options, Prescription Drug plan, 401(K) Savings Plan and Company match. LSEG’s Benefits plan also includes basic life insurance, disability benefits, emergency backup dependent care, adoption assistance commuter assistance etc.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Snr Product Manager for MCP Integrations employer: LSEG
LSEG is an exceptional employer, offering a dynamic work environment at the forefront of AI integration within financial services. With a strong commitment to employee growth, competitive compensation, and comprehensive benefits, including wellness allowances and flexible spending options, LSEG fosters a culture of innovation and collaboration. Employees have the unique opportunity to shape the future of financial intelligence while working alongside industry leaders in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Snr Product Manager for MCP Integrations
✨Tip Number 1
Network like a pro! Reach out to folks in your industry, especially those connected to LSEG. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your skills in action! If you’ve got a portfolio or examples of your work, bring them along to interviews. It’s all about demonstrating how you can add value to the team.
✨Tip Number 3
Prepare for the unexpected! Brush up on common interview questions and think about how your experience aligns with the role. But also be ready for curveballs—flexibility is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining us at LSEG.
We think you need these skills to ace Snr Product Manager for MCP Integrations
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Product Manager role. Highlight your experience with integrations, AI workflows, and any relevant projects that showcase your skills in product management.
Showcase Your Knowledge:Demonstrate your understanding of agentic AI patterns and financial services technology. Use specific examples from your past work to illustrate how you’ve successfully managed similar projects or products.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out and ensure we can quickly see your qualifications.
Apply Through Our Website:We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right team and you can easily track your application status!
How to prepare for a job interview at LSEG
✨Know Your Integration Strategies
Familiarise yourself with the integration roadmap for LSEG's MCP tools. Be ready to discuss how you would define integration patterns and best practices, especially in relation to AI platforms like Anthropic and OpenAI.
✨Showcase Your Agentic Workflow Knowledge
Prepare to explain your understanding of multi-step, agentic workflows. Think about examples where you've designed or improved workflows, focusing on tool chaining and error recovery—this will show your practical experience in the field.
✨Engage with Developer Experience
Highlight any experience you have in designing onboarding experiences or integration guides. Discuss how you would build a developer community around LSEG's MCP integrations, as this role heavily involves collaboration with external developers.
✨Emphasise Reliability and Safety
Be prepared to talk about how you would ensure the reliability and safety of autonomous AI agents. Discuss your approach to defining guardrails and monitoring systems, as these are crucial for maintaining the integrity of financial workflows.
